IoT-based Multimodal Analysis for Smart Education: Current Status, Challenges and Opportunities

Author:

Gan Wenbin1,Dao Minh Son1,Zettsu Koji1,Sun Yuan2

Affiliation:

1. National Institute of Information and Communications Technology, Tokyo, Japan

2. National Institute of Informatics, Tokyo, Japan

Funder

The Japan Society for the Promotion of Science (JSPS)

Publisher

ACM

Reference66 articles.

1. A Survey on Internet of Things Enabled Smart Campus Applications

2. Byunghoon "Tony" Ahn and Jason M Harley . 2020. Facial expressions when learning with a queer history app: Application of the control value theory of achievement emotions. British Journal of Educational Technology 51, 5 ( 2020 ), 1563--1576. Byunghoon "Tony" Ahn and Jason M Harley. 2020. Facial expressions when learning with a queer history app: Application of the control value theory of achievement emotions. British Journal of Educational Technology 51, 5 (2020), 1563--1576.

3. Mostafa Al-Emran , Sohail Iqbal Malik, and Mohammed N Al-Kabi . 2020 . A survey of Internet of Things (IoT) in education: Opportunities and challenges. Toward social internet of things (SIoT) : enabling technologies, architectures and applications (2020), 197--209. Mostafa Al-Emran, Sohail Iqbal Malik, and Mohammed N Al-Kabi. 2020. A survey of Internet of Things (IoT) in education: Opportunities and challenges. Toward social internet of things (SIoT): enabling technologies, architectures and applications (2020), 197--209.

4. Student behavior analysis to measure engagement levels in online learning environments

5. RA Bitner and N-T Le. 2021. Can EEG-devices differentiate attention values between incorrect and correct solutions for problem-solving tasks? Journal of Information and Telecommunication ( 2021 ), 1--20. RA Bitner and N-T Le. 2021. Can EEG-devices differentiate attention values between incorrect and correct solutions for problem-solving tasks? Journal of Information and Telecommunication (2021), 1--20.

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